Seite - 138 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5. ExperimentalResults
of heating sources. The verification results can be found in fi gures 5.6
and 5.7. Since the transient heating rates are more relevant to the prac-
tical applications, only results about the short time heating patterns
(t = 2 s) are demonstrated and analyzed in the following.
(a)Trial1at time t=2s (b)Trial2at time t=2s (c)Trial3at time t=2s
1 2 3 4
50
.0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
I n d e x o f m e a s u r e d p o i n t s
T r i a l 1 T r i a l 2 T r i a l 3
(d)Heatingratesof3 trials.
Figure5.6. Heating patterns (a, b, c) and rates (d) of source No. 1 and 5 at 3
different trials.
The results in figures 5.6 and 5.7 both indicate that even multiple
heating sources are switched on simultaneously, the corresponding
superposed heating patterns are still stable. Meanwhile, the number
138
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Titel
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Autor
- Yiming Sun
- Verlag
- KIT Scientific Publishing
- Ort
- Karlsruhe
- Datum
- 2016
- Sprache
- englisch
- Lizenz
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Abmessungen
- 14.8 x 21.0 cm
- Seiten
- 260
- Schlagwörter
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Kategorie
- Technik